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Description: reddy snr estimator. run the interleaver file first than run the estimator file and get the results.
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Size: 18432 |
Author: Rana Shahid |
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Description: 文章针对低信噪比下的水下目标定位问题，建立了水下无线传感器阵列网络，该结构包括多个分布式声传感器阵列，它适应于多模态信号处理，既可以利用目标的方位信息，又可以用能量信息。文中提出了用每个阵列接收到的信号能量作为参量完成目标定位并推导了基于能量的最大似然比目标定位方法。数值仿真表明：基于该结构的能量似然函数定位方法，可以有效估计目标的位置。并且比单阵元网络的定位性能和信息传输率上有了较大的提高， 尤其是在低信噪比下情况下，可以大大减小估计的方差。-With novel underwater wireless sensor array network (UWSAN) architecture that consists of multiple distributed arrays of acoustic sensors, maximum likelihood localization based on acoustic energy is proposed for solving the source localization in underwater and low signal to noise ratio. The exactly maximum likelihood (ML) target location estimator is derived. Very impressive simulation results demonstrated the feasibility of such a new approach for underwater wireless sensor network (UWSN). And comparison with the single sensor UWSN, the performance of localization is improved, especially in low SNR.
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Size: 265216 |
Author: 于文娟 |
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Description: Analysis of frequency and channel estimator for down link of MIMO OFDM system-The analysis should be done based on MATLAB codes, which includes parameters like SNR, SINR
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Size: 435200 |
Author: 崽崽 |
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Description: when SNR is high , 1st sample estimator provides good estimate of A. it has no ise effect . so we don’t need averaging effect to reduce noise when SNR is high.
However variance is still low in sample mean estimator which shows that in reality ,sample mean is good estimator than 1st sample estimator.
So, for high SNR, we do not need to reduce the effect of noise by averaging. or we can say that for high SNR let say >1000 , 1st sample estimator got reduced noise. But as for as variance is concerned , the sample mean has low variance for high SNR as well.-when SNR is high , 1st sample estimator provides good estimate of A. it has no noise effect . so we don’t need averaging effect to reduce noise when SNR is high.
However variance is still low in sample mean estimator which shows that in reality ,sample mean is good estimator than 1st sample estimator.
So, for high SNR, we do not need to reduce the effect of noise by averaging. or we can say that for high SNR let say >1000 , 1st sample estimator got reduced noise. But as for as variance is concerned , the sample mean has low variance for high SNR as well.
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Size: 1024 |
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Description: ：提出一种基于对偶树复小波块阈值的信号降噪方法，并将其成功应用于机械故障诊断中。机械设备的振动信号都或多或少地含有噪声，导致弱故障信息的提取一直是故障诊断的难点和热点。提出的降噪方法充分利用对偶树复小波变换的平移不变性和块阈值法的更优估计特性，可以获得比常规的小波降噪方法以及基于常规离散正交小波变换的 NeighBlock 降噪法更高的信噪比， 不仅能有效抑制高斯白噪声， 还能够去除冲击信号中的脉冲噪声。-：A denoising method of block thresholding based on
DT-CWT (Dual-tree complex wavelet transform) is proposed,
aiming at the difficulty of extracting weak failure information in
machinery vibration signals. The presented method can obtain
higher signal-to-noise ratio (SNR) than NeighBlock and other
common methods based on orthonormal discrete wavelet trans-
form, because of improving asymptotic optimality of block
thresholding estimator and shift invariance of DT-CWT. It can
not only suppress white Gaussian noise, but also remove spike
pulse noise in impulsive signal effectively.
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Size: 292864 |
Author: 侯蒙蒙 |
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Description: maximum a posterior estimator of magnitude squared speech and also using mmse of SNR uncertainity and many other.
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Size: 45056 |
Author: nidhusha |
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